Question 1

What's the best charting library for React?

Accepted Answer

Awesome Dataviz lists several options like Recharts, Victory, and nivo in the React section, but it doesn't rank them; you'll need to evaluate based on your project's needs for interactivity, styling, and performance.

Question 2

How to contribute to Awesome Dataviz?

Accepted Answer

Check the Contributing section: avoid duplicates, keep descriptions short and unbiased, make individual commits per suggestion, and add categories if needed. It's community-maintained, so open a GitHub issue or pull request.

Question 3

Is Awesome Dataviz updated regularly?

Accepted Answer

It depends on community activity; the README shows it's maintained by Javier Luraschi with contributors, but there's no schedule, so some entries might be outdated. Check the GitHub repo for recent commits.

Question 4

Can I find tools for real-time data visualization?

Accepted Answer

Yes, libraries like Epoch for JavaScript and tools in the Python section like Bokeh support real-time charts, but you'll need to verify compatibility and features as the list only provides basic descriptions.

Question 5

What are some good data visualization books listed?

Accepted Answer

The Books section includes classics like 'The Visual Display of Quantitative Information' by Tufte and practical guides like 'Interactive Data Visualization for the Web', offering theory and hands-on learning.

Question 6

Awesome Dataviz vs. other awesome lists: which is better?

Accepted Answer

It's specialized for data visualization, so it's more focused than general lists, but it lacks the depth of domain-specific reviews. Use it as a starting point, then cross-reference with official documentation for tools.

Data Visualization

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